| Literature DB >> 35208002 |
Paolo Carosi1, Claudia Lorenzi1, Fabrizio Lio1, Pierluigi Cardelli2, Alessandro Pinto1, Andrea Laureti1, Alessandro Pozzi3.
Abstract
The aim of this study was to systematically review the current scientific literature regarding the accuracy of fully guided flapless implant positioning for complete-arch rehabilitations in edentulous patients and to assess if there was any statistically significant correlation between linear deviation at shoulder point, at apex point and angular deviation. The electronic and manual literature search of clinical studies was carried out using specified indexing terms. A total of 13 studies were eligible for qualitative analysis and 277 edentulous patients were rehabilitated with 1556 implants patients by means of fully guided mucosa-supported template-assisted flapless surgery. Angular deviation was 3.42° (95% CI 2.82-4.03), linear deviation at shoulder point 1.23 mm (95% CI 0.97-1.49) and linear deviation at apex point 1.46 mm (95% CI 1.17-1.74). No statistically significant correlations were found between the linear and angular deviations. A statistically significant correlation was found between the two linear deviations (correlation coefficient 0.91) that can be summarized by the regression equation y = 0.03080 + 0.8254x. Computer-assisted flapless implant placement by means of mucosa-supported templates in complete arch restorations can be considered a reliable and predictable treatment choice despite the potential effects that flapless approach could bring to the overall treatment.Entities:
Keywords: complete-arch; computer-guided-surgery; digital workflow; immediate loading
Year: 2022 PMID: 35208002 PMCID: PMC8880344 DOI: 10.3390/ma15041462
Source DB: PubMed Journal: Materials (Basel) ISSN: 1996-1944 Impact factor: 3.623
Figure 1Deviation of placed implants coordinates from 3D planned implants coordinates (a: linear deviation at shoulder point; b: linear deviation at apex point; c: angular deviation).
Excluded studies and reason for exclusion.
| Excluded Study | Reason for Exclusion |
|---|---|
| Amorfini et al., 2016 [ | The study analyzed partially edentulous patients. |
| Meloni et al., 2015 [ | Results or statistical analysis are comprehensive and not divided in partially or fully edentulous patients. |
| Bernard et al., 2018 [ | The outcomes are different from those established. |
| Vasak et al., 2011 [ | The authors do not report the number of implants placed in total and in partial edentulous patients. |
| Vercruyssen et al., 2014 [ | Patients or data repeated in other included articles with longer follow-up. |
| Beretta et al., 2014 [ | The sample is too small. |
| El Kholy et al., 2018 [ | In vitro study. |
| Stübinger et al., 2014 [ | The study analyzed bone-supported templates. |
Figure 2PRISMA flowchart.
Figure 3Quality assessment of the included studies following the Cochrane Collaboration’s tool 2 for assessing risk of bias in randomized trials (green, low risk; yellow, unclear risk; red, high risk).
Figure 4Quality assessment of the included studies following the Newcastle–Ottawa Scale for assessing the quality of nonrandomized trials. (Good quality: 3 or 4 *; Fair quality: 2 *; Poor quality: 0 or 1 *).
Main characteristics of the included studies.
| Author, Year | Study Design | Study Group | N° of Implants Evaluated | Evaluation Software | Angular Deviation ± SD (°) | Linear Deviation at Shoulder Point ± SD (in mm) | Linear Deviation at Apex Point ± SD |
|---|---|---|---|---|---|---|---|
| Petterson, 2010 [ | Prospective | 1 | 139 | NobelGuide Evaluation Software | 2.26 ± 2.53 | 0.80 ± 0.89 | 1.09 ± 1.18 |
| Di Giacomo, 2012 [ | Prospective | 1 | 60 | Rhino 4.0 | 6.53 ± 4.31 | 1.35 ± 0.65 | 1.79 ± 1.01 |
| Cassetta, 2012 [ | Retrospective | Fixed | 66 | Mimics | 4.10 ± 2.43 | 1.66 ± 0.57 | 2.11 ± 2.22 |
| Arisan, 2012 [ | RCT | CT | 50 | Analyze | 3.3 ± 1.08 | 0.75 ± 0.32 | 0.80 ± 0.35 |
| Arisan, 2012 [ | CBCT | 52 | 3.47 ± 1.14 | 0.81 ± 0.32 | 0.87 ± 0.32 | ||
| Marinho Vieria, 2013 [ | Prospective | 1 | 62 | NobelGuide Evaluation Software | 1.89 | 1.80 | 2.21 |
| Verhamme, 2014 [ | Prospective | 1 | 104 | NobelGuide Evaluation Software | 2.81 ± 0.36 | 1.37 ± 0.17 | 1.59 ± 0.18 |
| Vercruyssen, 2014 [ | RCT | MATMU | 55 | Mimics | 2.86 ± 1.16 | 1.23 ± 0.60 | 1.57 ± 0.71 |
| Vercruyssen, 2014 [ | FAMU | 52 | 2.71 ± 1.36 | 1.38 ± 0.64 | 1.60 ± 0.70 | ||
| Cassetta, 2014 [ | Prospective | Fixed | 144 | Mimics | 1.09 ± 2.40 | 1.66 ± 0.58 | 2.09 ± 0.75 |
| Van de Wiele, 2014 [ | Prospective | 1 | 75 | Mimics | 5.02 ± 0.39 | 2.05 ± 0.14 | 1.60 ± 0.14 |
| Cassetta, 2017 [ | RCT | Inexperienced | 33 | GeomagicStudio | 3.21 | 0.60 ± 0.25 | 0.67 ± 0.34 |
| Cassetta, 2017 [ | RCT | Experienced | 37 | GeomagicStudio | 3.07 | 0.74 ± 0.18 | 1.02 ± 0.44 |
| Verhamme, 2015 [ | Prospective | 1 | 150 | NobelGuide Evaluation Software | 3.92 ± 0.81 | 1.96 ± 0.45 | 2.28 ± 0.52 |
| Geng, 2015 [ | Prospective | 1 | 59 | Simplant | 2.71 ± 2.58 | 0.69 ± 0.66 | 0.94 ± 0.75 |
Figure 5Boxplot for angular deviation of the included studies.
Figure 6Boxplot for linear deviation at shoulder point of the included studies.
Figure 7Boxplot for linear deviation at apex point of the included studies.
Figure 8Regression equation (y = 0.03080 + 0.8254x, blue line) and confidence intervals (brown lines) assessing a statistically significant correlation between linear deviation at apex point and linear deviation at shoulder point.